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Computer Vision Intern Jobs in Phoenix, AZ (NOW HIRING)

Intel

AI Software Engineering Intern

Phoenix, AZ · On-site

... across domains such as computer vision, machine learning, and deep learning. Assists in ... As an intern, learns and applies knowledge, builds skills, and explores future career opportunities ...

Insight

Sales Intern

Chandler, AZ · On-site

$14.75 - $20/hr

Specific vision abilities required by this job include close vision requirements due to computer ... Intern) || None || US - Chandler,AZ

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All JobsComputer Vision Intern JobsComputer Vision Intern Jobs in Phoenix, AZ

Computer Vision Intern information

See Phoenix, AZ salary details

$20.4K

$95K

$191.5K

How much do computer vision intern jobs pay per year?

As of Jun 17, 2026, the average yearly pay for computer vision intern in Phoenix, AZ is $94,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,529.00 and $141,950.00 per year, depending on experience, location, and employer.

Is computer vision a dead field?

Computer vision is an active and rapidly evolving field with ongoing research and industry applications, including autonomous vehicles, medical imaging, and security systems. As a computer vision intern, staying updated with new algorithms, tools like deep learning frameworks, and industry trends is essential for success in the field.

What are the key skills and qualifications needed to thrive in the Computer Vision Intern position, and why are they important?

To thrive as a Computer Vision Intern, you need a solid understanding of image processing, machine learning, and programming languages like Python or C++, typically supported by coursework in computer science or related fields. Familiarity with libraries such as OpenCV, TensorFlow, or PyTorch, and experience using tools like Jupyter Notebook are highly valued. Strong problem-solving abilities, teamwork, and effective communication skills will help you succeed in collaborative environments. These competencies are crucial for developing innovative computer vision applications, effectively contributing to project goals, and learning from experienced colleagues.

Is 20 an hour good for an internship?

For a Computer Vision Intern, $20 an hour is generally considered a competitive rate, especially for entry-level positions that may require skills in programming, machine learning, and image processing. Internships often pay between minimum wage and $20 or more, depending on the company, location, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating compensation.

What is a Computer Vision Intern job?

A Computer Vision Intern is a student or entry-level professional who assists in developing and implementing computer vision algorithms. Their work typically involves image processing, machine learning, and deep learning techniques to analyze visual data. Interns may contribute to data collection, model training, and fine-tuning neural networks. They often work with programming languages like Python and frameworks such as OpenCV, TensorFlow, or PyTorch. This role provides hands-on experience in applying AI to real-world visual tasks like object detection, image recognition, and video analysis.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Computer Vision Interns, tend to offer competitive salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow or PyTorch. Entry-level positions may have moderate pay, but with experience and advanced skills, salaries can increase significantly in the tech industry.

What does a computer vision intern do?

A computer vision intern assists in developing and testing algorithms that enable computers to interpret visual data, such as images and videos. They often work with machine learning models, use tools like OpenCV and Python, and gain hands-on experience in image processing, object detection, and data annotation within a team environment.

What are some typical projects or tasks a Computer Vision Intern might work on?

As a Computer Vision Intern, you may assist in developing algorithms for object detection, image segmentation, or pattern recognition, often working with large datasets to train and test models. Tasks can include data annotation, preprocessing images, building and fine-tuning neural networks, and evaluating model performance. Interns often collaborate closely with software engineers, data scientists, and senior researchers to solve real-world problems and enhance the company's technology stack. This hands-on experience provides valuable exposure to industry-standard tools and methodologies, laying a strong foundation for future roles in AI and computer vision.

What are the most commonly searched types of Computer Vision jobs in Phoenix, AZ? The most popular types of Computer Vision jobs in Phoenix, AZ are:
What are popular job titles related to Computer Vision Intern jobs in Phoenix, AZ? For Computer Vision Intern jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Computer Vision Intern jobs in Phoenix, AZ look for? The top searched job categories for Computer Vision Intern jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Computer Vision Intern jobs? Cities near Phoenix, AZ with the most Computer Vision Intern job openings:
Computer Vision Intern jobs near you
Infographic showing various Computer Vision Intern job openings in Phoenix, AZ as of June 2026, with employment types broken down into 2% As Needed, 53% Full Time, 32% Part Time, and 13% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $94,971 per year, or $45.7 per hour.
Computer Vision Camera Systems Internship

Computer Vision Camera Systems Internship

Alphacore Inc

Tempe, AZ • On-site

Internship

Posted 2 days ago

Job description

Computer Vision Camera Systems Internship (Alphacore - Tempe, AZ - Onsite)
We're looking for an intern who's equally at home on the optical bench and in a Python
notebook, eager to turn raw sensor data into real-time insight.
Qualifications
• Working toward or holding a degree in Optical Engineering, Electrical Engineering, Robotics, Computer Science, or a closely related field.
• Hands-on experience with camera hardware and basic lab instrumentation.
• Understanding of intrinsic & extrinsic calibration, camera-pose estimation, and radiometric calibration.
• Proficiency in Python or C++; experience deploying code on embedded/edge platforms is a plus. Interest in applying machine-learning frameworks (e.g., TensorFlow, PyTorch) to imaging problems.
• Strong problem-solving skills and the curiosity to dig deep into both hardware and software.
What You'll Do
• Calibrate advanced cameras - derive lens intrinsics, sensor extrinsic, and radiometric response curves.
• Integrate multi-sensor rigs - time-align cameras with IMUs, range finders, and custom electronics, then capture synchronized datasets.
• Build edge pipelines - deploy calibration-informed perception algorithms on embedded CPUs/GPUs for live testing.
• Prototype rapidly in the lab - design fixtures, script data collection, and iterate on hardware-software interactions for next-generation imaging systems.
Other Job Requirements
Due to U.S. export-control (ITAR) regulations, this position is open to U.S. persons only (citizens or lawful permanent residents).
How to Apply
Email your resume, to [email protected] with the subject line "Computer Vision Camera Systems Internship"
About Us
Alphacore designs image sensors from the transistor level up. We craft pixel architectures, tape them out, and turn them into complete camera chips-giving you a front-row seat to semiconductor design flows, optical test benches, and the way manufacturing decisions ripple into imaging performance. Join our tight-knit Tempe team and help push camera technology to its next breakthrough.
Learn more about us
Solutions | Alphacore | Robust High-Performance Microelectronics (alphacoreinc.com)

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